Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
assistant for a PhD in the field of AI for processing and analyzing text-based data in education Full-time, temporary for 3 years, salary according to EG 13 of the collective agreement for the public service
-
the project “Modeling Great Ape Signaling Behavior” under the auspices of the Collaborative Research Center “Common Ground” (CRC1718), which is funded by the German Research Foundation (DFG), at the University
-
% of full time E13. The position is associated with the project “Modeling Great Ape Signaling Behavior” under the auspices of the Collaborative Research Center “Common Ground” (CRC1718), which is funded by
-
(m/f/d) in the topic: “AI-based processing of CAD models for automated planning of computer-aided manufacturing.” The candidate has the opportunity to pursue a doctoral degree (Ph.D.). Remuneration is
-
internationally renowned scientists. The selection procedure will include a symposium to be held in September/October 2025. Our concept puts special emphasis on individual scientific excellence and the potential
-
documentation Processing research projects Conception of digital systems and services Development of AI-supported solution approaches Publishing your research results at national and international conferences
-
are: Requirements definition, survey and documentation Processing of research projects Conception of digital systems and services Developing suitable participation formats together with external partners Designing
-
internationally renowned scientists. The selection procedure will include a symposium to be held in September/October 2025. Our concept puts special emphasis on individual scientific excellence and the potential
-
, biomedical engineering, neuroscience, physics, or related field • Strong interest in vision science and technical aptitude • Solid analytical abilities with experience in image analysis and/or human
-
such as the NEPS. Potential research areas include (but are not limited to): Item response modeling of achievement tests Analysis of process data (e.g., response times) to enhance competence measurements